Ch 12 and13 Flashcards

Descriptive and inferential stats for bivariate and multivariate cases

1
Q

Parametric statistics

A

Built in assumptions about distribution (like normal distribution, etc)

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2
Q

Non-parametric statistics

A

No assumptions

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3
Q

Frequency distribution

A

raw or relative cumulative distribution

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4
Q

Central tendency

A

Measure of the middle

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5
Q

Dispersion

A

Measure of spread

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6
Q

Nominal descriptive stats

A

Mode and variation ratio

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7
Q

Ordinal descriptive stats

A

Median and range

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8
Q

Interval/ratio descriptive stats

A

Mean and standard deviation

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9
Q

Z scores

A

express how far a given value is away from the mean through standard deviations

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10
Q

Types of claims

A

Descriptive, differences, relationship, causal effect

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11
Q

Type I error

A

H0 incorrectly rejected

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12
Q

Type II error

A

Fail to reject H0

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13
Q

Recoding variables

A

Reinterpreting them for use in statistical analysis

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14
Q

weakness of p value

A

doesnt account for size of data set or importance of relationship

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15
Q

Input into R of N/A cases

A

should specify to exclude; inserted as ±99 and will skew data

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16
Q

Dummy variables

A

Representing nominal or ordinal categories as arbitrary values

17
Q

Mann-Whitney U

A

Compares based on ranking subgroups within data set and then seeing if the match

18
Q

Nominal-nominal inferential stats

A

Chi squared

19
Q

Ordinal - nominal/ordinal inferential stats

A

Chi squared, mann whitney U

20
Q

I/R (nonnormal)-nominal, ordinal, I/R inferential stats

A

Mann whitney U

21
Q

I/R (normal) - nominal, ordinal inferential stats

A

ANOVA, difference of means

22
Q

I/R (normal)-I/R (normal) inferential stats

A

t-test, F-test

23
Q

F ratio

A

calculates statistical significance of r^2

24
Q

ANOVA

A

comparing difference of means across more than 2 groups

25
Q

t test

A

parametric assumption, compares sample distribution to t distribution